Query reformulation for dynamic information integration
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. (Advanced Information and Knowledge Processing)
Information Integration with Ontologies: Experiences from an Industrial Showcase
Information Integration with Ontologies: Experiences from an Industrial Showcase
Handling changes of database schemas and corresponding ontologies
CoMoGIS'06 Proceedings of the 2006 international conference on Advances in Conceptual Modeling: theory and practice
An ontology-based collaborative design system
CDVE'09 Proceedings of the 6th international conference on Cooperative design, visualization, and engineering
Port-based ontology modeling to support product conceptualization
Robotics and Computer-Integrated Manufacturing
Multi-agent ontology-based Web 2.0 platform for medical rehabilitation
Expert Systems with Applications: An International Journal
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The research presented in this paper is a follow-up of our prior work involving the development of a graphical modeling tool to support designers at the conceptual design stage. To close the loop for supporting designers in generating design concepts flexibly, fast, and easily, an ontology-based approach for knowledge management that works along with the graphical modeling tool is discussed. Ontology and databases for the tool are developed to promote the systematic capture of design knowledge and efficient reuse of the design knowledge selection. In order to locate the proper information and query the data from the databases, the relationship between the ontology and databases, the data analysis process, ontology enrichment, and the ontology-based query engine are built to offer users multiple design results according to users' requirements. A tire design example is presented to demonstrate the proposed approach. The ontology-based method described in this paper can help retrieve and save the complex relations, support the reasoning, integrate heterogeneous data resources and offer users more accurate, proper and comprehensive data.